We are a clinical-stage company committed to developing potentially transformative gene therapies for severe genetic diseases and T cell-based immunotherapies. The company aims to develop and bring to market the most advanced products based on the transformative potential of cell and gene therapy to provide patients hope for a better life in the face of limited or no long-term safe and effective treatment options.

We have been consistently voted one of Boston Business Journal's "Best Places to Work". You can expect to join a team of motivated, inquisitive scientists that recognize the value of working hard, but also do not take themselves too seriously.

The Senior Associate Scientist will be an integral part of bluebird's data sciences team. The team works across research, clinical, and pharmaceutical sciences to advance our gene therapies by leveraging expertise in bioinformatics, statistics, machine learning, disease biology, molecular biology, and human genetics. In this highly collaborative role, you will partner with biologists to analyze next generation sequencing (NGS) data, building analysis pipelines, and mine public and in-house data sets.

This position offers a unique opportunity to leverage bioinformatics, statistics, and data sciences to make an immediate impact on the efficacy and safety of our cell and gene therapies with the ultimate goal of improving patient lives.

About the Role:

Learn about the needs of the biology teams and proactively suggest new ways data sciences can impact research and discovery projects.

Work with project teams to mine and distill NGS data to select novel cancer targets and to understand the mechanism of action of our gene therapies.

Develop and maintain pipelines for sequencing analysis, e.g. bulk and single cell RNAseq.

Visualize data to explain the findings to a large cross-functional team and/or the outside stakeholders.

Improve and automate megaTAL nuclease off-target profiling workflows.

Apply machine learning methods to predict megaTAL off-target activity and correlate it to structure of the protein.

Be a key member of the data science team.

About You:

Have a passion for performing science that will directly improve the lives of cancer patients or patients with severe genetic diseases.

BS with at least 5 years of experience or MS with at least 3 years of experience.

Excellent command of Python.

Working knowledge of R, shell scripting and git version control.

Understanding of molecular biology and being able to communicate with cross-disciplinary project teams.